Scenario #1 In many epidemiologic studies, age can be a confounding factor. In the next question you will examine age as a confounder. The distribution of cases (ova rian cancer} and controls by age (c 40, 2 cc} and by oral contraceptive status [even never} is shown in Table 1. Note that this is data from a case-control study. Table 1: Ever-use of oral contraceptives by age and case-control status Based on the data In Table 1, determine It age could be a confounding variable of the relationship between oral contraceptive use and ovarian cancer. 't'ou will need to al examine If there Is an association between age and ovarian cancer bl examine if there Is an association between age and oral contraceptive use. Assume that age Is not on the causal patway between oral contraceptive use and ovarian cancer. 1. Calculate the OR for age and cancer [git]. 2. Calculate the OR for age and DC use {it}. 3. Based on your answers to questions 1 and 2, is age a potential contounder? a.'r'es b.hlo